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Ángel Monteagudo
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Impact on city bus transit services of the COVID–19 lockdown and return to the new normal: the case of A Coruña (Spain)
A Orro, M Novales, Á Monteagudo, JB Pérez-López, MR Bugarín
Sustainability 12 (17), 7206, 2020
1322020
Simulated evolution applied to study the genetic code optimality using a model of codon reassignments
J Santos, Á Monteagudo
BMC bioinformatics 12, 1-8, 2011
382011
Study of the genetic code adaptability by means of a genetic algorithm
J Santos, Á Monteagudo
Journal of theoretical biology 264 (3), 854-865, 2010
342010
Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context
Á Monteagudo, J Santos
Biosystems 115, 46-58, 2014
312014
Treatment analysis in a cancer stem cell context using a tumor growth model based on cellular automata
A Monteagudo, J Santos
PloS one 10 (7), e0132306, 2015
282015
Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability
J Santos, Á Monteagudo
BMC bioinformatics 18, 1-18, 2017
252017
A cellular automaton model for tumor growth simulation
A Monteagudo, J Santos
6th International Conference on Practical Applications of Computational …, 2012
182012
Analysis of behaviour transitions in tumour growth using a cellular automaton simulation
J Santos, Á Monteagudo
IET Systems Biology 9 (3), 75-87, 2015
122015
Study of cancer hallmarks relevance using a cellular automaton tumor growth model
J Santos, Á Monteagudo
International Conference on Parallel Problem Solving from Nature, 489-499, 2012
122012
Evolutionary optimization of cancer treatments in a cancer stem cell context
Á Monteagudo, J Santos
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
62015
Cancer stem cell modeling using a cellular automaton
Á Monteagudo, J Santos Reyes
International Work-Conference on the Interplay Between Natural and …, 2013
52013
Simulated evolution of the adaptability of the genetic code using genetic algorithms
Á Monteagudo, J Santos
International Work-Conference on the Interplay Between Natural and …, 2007
42007
Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization
J Santos, Á Monteagudo
Natural Computing 8, 719-738, 2009
32009
Metodología para la estimación de matrices de origendestino en redes complejas de autobús con tratamiento de transbordos
A Orro, M Novales, Á Monteagudo, YMM Lamas
XV Congreso de Ingeniería del Transporte (15º. La Laguna. 2023), 1241-1250, 2023
2023
On the Use of Fitness Sharing in Studying the Genetic Code Optimality
J Santos, A Monteagudo
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2018
2018
Tumor growth analysis using cellular automata based on the cancer hallmarks
Á Monteagudo
Universidade da Coruña, 2016
2016
Tumor growth emergent behavior analysis based on cancer hallmarks and in a cancer stem cell context
ÁM José Santos
Emerging Trends in Computational Biology, Bioinformatics and Systems Biology, 2016
2016
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